flan-t5-base-multi_news
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1226
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3803 | 1.0 | 5622 | 2.1816 |
| 2.2688 | 2.0 | 11244 | 2.1554 |
| 2.1995 | 3.0 | 16866 | 2.1341 |
| 2.1854 | 4.0 | 22488 | 2.1352 |
| 2.1352 | 5.0 | 28110 | 2.1297 |
| 2.1199 | 6.0 | 33732 | 2.1241 |
| 2.1218 | 7.0 | 39354 | 2.1218 |
| 2.1056 | 8.0 | 44976 | 2.1223 |
| 2.0928 | 9.0 | 50598 | 2.1228 |
| 2.0834 | 10.0 | 56220 | 2.1226 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for olonok/flan-t5-base-multi_news
Base model
google/flan-t5-base